Groundwater flow simulation through the application of the FREEWAT modeling platform

Koltsida, Evgenia; Kallioras, Andreas

doi:10.2166/hydro.2019.040

Cited by 13 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The current study conducted by (Larbi et al, 2020), revealed a constant decline in wooded savannahs and a constant increase in agricultural land and settlement. Consequently, an earlier study conducted by (Koltsida & Kallioras, 2019), shows a constant increase in bare land and settlements at the detriment of other land use classes. Similarly, (Kumar, 2019) analyzed land use trends in the Volta Basin from 2000 to 2013.…”

Section: Discussionmentioning

confidence: 92%

“…However, large-scale hydroelectric power plants have significant The Black Volta Basin has been the subject of several studies related to hydropower potential assessment. For example, the study (Koltsida & Kallioras, 2019) used GIS and remote sensing techniques to evaluate the hydropower potential of the basin and identified several potential sites for hydropower projects. The study by (Koltsida & Kallioras, 2019) used GIS and hydrological data to assess the hydropower potential of the basin and estimated a potential of up to 700 MW.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the study (Koltsida & Kallioras, 2019) used GIS and remote sensing techniques to evaluate the hydropower potential of the basin and identified several potential sites for hydropower projects. The study by (Koltsida & Kallioras, 2019) used GIS and hydrological data to assess the hydropower potential of the basin and estimated a potential of up to 700 MW. A study conducted by (Asare et al, 2020) investigated the feasibility of small-scale hydropower generation in Iran using GIS and remote sensing.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment and Spatial Analysis of Land Use and Land Cover (LULC) Dynamics in the Black Volta Basin

Dayinday

2023

IJMSIR

View full text Add to dashboard Cite

The Black Volta Basin, a critical hydrological region, is experiencing rapid changes in Land Use and Land Cover (LULC) patterns due to diverse anthropogenic and environmental factors. This study employs a comprehensive Multi-Sensor Remote Sensing and Geographic Information System (GIS) methodology to assess and analyze the spatiotemporal dynamics of LULC in the basin. Utilizing data from multiple remote sensing platforms, including optical and radar sensors, as well as historical GIS datasets, a detailed LULC classification is performed. The integration of multi-temporal satellite imagery enables the detection and quantification of changes across distinct land cover categories. Through rigorous spatial analysis and statistical techniques, the study reveals the extent and magnitude of LULC transformations over a defined period. Land cover transitions are identified, characterized, and linked to potential drivers such as urbanization, agricultural expansion, and natural processes. The outcomes of this research contribute to an enhanced understanding of the evolving LULC dynamics in the Black Volta Basin, shedding light on both natural and human-induced changes. The results underscore the significance of a multi-sensor approach in accurately capturing complex LULC changes and their implications for regional sustainability and resource management. This study's insights serve as valuable inputs for policymakers, researchers, and stakeholders engaged in land-use planning, environmental conservation, and sustainable development within the Black Volta Basin and similar ecologically sensitive areas.

show abstract

Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment and Spatial Analysis of Land Use and Land Cover (LULC) Dynamics in the Black Volta Basin

Dayinday

2023

IJMSIR

View full text Add to dashboard Cite

show abstract

“…Besides what was mentioned in the Introduction section, the application of the QGIS-integrated FREEWAT platform at the 13 case studies highlighted the benefits of the approach here presented. A further set of case studies may be found in Rossetto et al [17], Criollo et al [19], Cannata and Neumann [25], Perdikaki et al [87], Koltsida and Kallioras [88], and a complete list of FREEWAT-related peer-reviewed papers is available at the web address http://www.freewat.eu/peer-reviewed-papers.…”

Section: Discussionmentioning

confidence: 99%

Spatial Data Management and Numerical Modelling: Demonstrating the Application of the QGIS-Integrated FREEWAT Platform at 13 Case Studies for Tackling Groundwater Resource Management

Filippis

Pouliaris

Kahuda

et al. 2019

Water

Self Cite

View full text Add to dashboard Cite

Because of the spatial nature of groundwater-related data and their time component, effective groundwater management requires the application of methods pertaining to the Information and Communication Technologies sector, such as spatial data management and distributed numerical modelling. The objective of this paper is to demonstrate the effectiveness of the QGIS-integrated FREEWAT platform and an approach combining spatial data management and numerical models to target groundwater management issues. FREEWAT is a free and open source platform integrated in a Geographic Information System environment and embedding tools for pre-and post-processing of Water 2020, 12, 41 2 of 31 spatial data and integrating numerical codes for the simulation of the hydrological cycle, with a main focus on groundwater. To this aim, this paper briefly presents the FREEWAT platform, introduces the FREEWAT approach, and showcases 13 case studies in European and non-European countries where the FREEWAT platform was applied. Application of the FREEWAT platform to real-world case studies is presented for targeting management of coastal aquifers, ground-and surface-water interaction, climate change impacts, management of transboundary aquifers, rural water management and protection of groundwater-dependent ecosystems. In this sense, compared to other existing software suites, FREEWAT allows data analysis and visualization to accomplish each step of the modelling workflow, i.e., from data analytics, to conceptual model definition, to numerical modelling and reporting of results. The presented experiences demonstrate that improved access to data and the portability of models and models' results can help to promote water sustainability from the localto the basin-scale. Furthermore, FREEWAT may represent a valuable tool to target the objective of increasing the capabilities of public authorities and private companies to manage groundwater resources by means of up-to-date, robust, well-documented and reliable software, without entailing the need of costly licensing, nowadays seldom affordable by public water authorities. Based on the strengths highlighted, the FREEWAT platform is a powerful tool for groundwater resources management, and for data collection, sharing, implementation and comparison of scenarios, for supporting planning and decision-making.

show abstract

“…Study of the effects of catchment behavior on floods, prediction of catchment response to changes in the input conditions, modeling of river behavior, real-time flood forecasting, adjusting and evaluation of water resource management and effects of river's activity such as erosion and sedimentation can be made with the help of geographic information systems (GIS). GIS can be defined as 'a computer system capable of capturing, storing, analyzing and displaying geographically referenced information; that is, data identified according to location' (Nenwiini & Kabanda 2013;USGS 2016;Koltsida & Kallioras 2019). The data for rainfall-runoff (R-R) modeling ranges from a digital elevation model (DEM) to derive physical basin characteristics, soil characteristics (for parameters about infiltration loss and soil moisture holding capability) and land use classes derived from satellite images etc.…”

Section: Introductionmentioning

confidence: 99%

HEC-HMS based rainfall-runoff model for Punpun river basin

Ranjan

Singh

2022

Water Practice and Technology

View full text Add to dashboard Cite

Various hydrological models were used in different river basins to simulate the runoff on available rainfall, land use and soil property data. HEC-HMS model is used by several researchers to estimate the water potential of the basin through rainfall-runoff modeling. In this study, rainfall-runoff model for the Punpun river basin has been developed using HEC-HMS. Daily rainfall and runoff data from the year 2005 to 2017 were used for the development of model. ArcGIS has been used to analyze the hydrological parameters, preparation of LULC, soil and slope maps for the computation of Curve Number as input into the HEC-HMS model. Daily, Monthly and Monsoonal rainfall-runoff models have been developed. The performance of all the models have been evaluated using statistical indices – Coefficient of determination (R2), Nash-Sutcliffe Efficiency (NSE), Percent Bias (PBIAS) and RMSE-Observations Standard deviation Ratio (RSR). R2 and NSE values for all the models are greater than 0.75 and PBIAS is less than 10, it shows very good results from all the models except daily model, in which NSE values are less than 0.75. Based on statistical indices, the monthly model performs better as compared to daily and monsoonal models.

show abstract

Groundwater flow simulation through the application of the FREEWAT modeling platform

Cited by 13 publications

References 9 publications

Assessment and Spatial Analysis of Land Use and Land Cover (LULC) Dynamics in the Black Volta Basin

Assessment and Spatial Analysis of Land Use and Land Cover (LULC) Dynamics in the Black Volta Basin

Spatial Data Management and Numerical Modelling: Demonstrating the Application of the QGIS-Integrated FREEWAT Platform at 13 Case Studies for Tackling Groundwater Resource Management

HEC-HMS based rainfall-runoff model for Punpun river basin

Contact Info

Product

Resources

About